Note
Go to the end to download the full example code.
Use a shapefile as landmask
import numpy as np
from opendrift.readers import reader_netCDF_CF_generic
from opendrift.readers import reader_shape
from opendrift.models.oceandrift import OceanDrift
o = OceanDrift(loglevel=20) # Set loglevel to 0 for debug information
# This example works better using hourly input from Thredds than the daily data from test folder
reader_topaz = reader_netCDF_CF_generic.Reader('https://thredds.met.no/thredds/dodsC/cmems/topaz6/dataset-topaz6-arc-15min-3km-be.ncml')
20:11:57 INFO opendrift.models.basemodel:515: OpenDriftSimulation initialised (version 1.12.0 / v1.12.0-26-g390e945)
20:11:57 INFO opendrift.readers:58: Opening file with xr.open_dataset
20:11:58 INFO opendrift.readers.reader_netCDF_CF_generic:337: Detected dimensions: {'x': 'x', 'y': 'y', 'time': 'time'}
Use shapes from Cartopy as landmask. These shapefiles are less acurate than those provided by the GSHHG dataset (available though the reader_global_landmask reader).
import cartopy.io.shapereader as shpreader
shpfilename = shpreader.natural_earth(resolution='110m',
category='cultural',
name='admin_0_countries')
reader_natural = reader_shape.Reader.from_shpfiles(shpfilename)
o.add_reader([reader_natural, reader_topaz])
o.set_config('general:use_auto_landmask', False) # Disabling the automatic GSHHG landmask
o.set_config('general:coastline_action', 'stranding')
20:11:58 INFO opendrift.readers.reader_shape:91: Pre-processing 177 geometries
Seeding elements on a grid
lons = np.linspace(12, 14.7, 30)
lats = np.linspace(67.5, 68.5, 30)
lons, lats = np.meshgrid(lons, lats)
lon = lons.ravel()
lat = lats.ravel()
time = reader_topaz.start_time
o.seed_elements(lon, lat, radius=0, number=30*30, time=time)
o.run(steps=48, time_step=3600)
20:11:58 INFO opendrift.models.basemodel.environment:245: Fallback values will be used for the following variables which have no readers:
20:11:58 INFO opendrift.models.basemodel.environment:248: x_wind: 0.000000
20:11:58 INFO opendrift.models.basemodel.environment:248: y_wind: 0.000000
20:11:58 INFO opendrift.models.basemodel.environment:248: upward_sea_water_velocity: 0.000000
20:11:58 INFO opendrift.models.basemodel.environment:248: ocean_vertical_diffusivity: 0.000000
20:11:58 INFO opendrift.models.basemodel.environment:248: sea_surface_wave_significant_height: 0.000000
20:11:58 INFO opendrift.models.basemodel.environment:248: sea_surface_wave_stokes_drift_x_velocity: 0.000000
20:11:58 INFO opendrift.models.basemodel.environment:248: sea_surface_wave_stokes_drift_y_velocity: 0.000000
20:11:58 INFO opendrift.models.basemodel.environment:248: sea_surface_wave_period_at_variance_spectral_density_maximum: 0.000000
20:11:58 INFO opendrift.models.basemodel.environment:248: sea_surface_wave_mean_period_from_variance_spectral_density_second_frequency_moment: 0.000000
20:11:58 INFO opendrift.models.basemodel.environment:248: sea_surface_swell_wave_to_direction: 0.000000
20:11:58 INFO opendrift.models.basemodel.environment:248: sea_surface_swell_wave_peak_period_from_variance_spectral_density: 0.000000
20:11:58 INFO opendrift.models.basemodel.environment:248: sea_surface_swell_wave_significant_height: 0.000000
20:11:58 INFO opendrift.models.basemodel.environment:248: sea_surface_wind_wave_to_direction: 0.000000
20:11:58 INFO opendrift.models.basemodel.environment:248: sea_surface_wind_wave_mean_period: 0.000000
20:11:58 INFO opendrift.models.basemodel.environment:248: sea_surface_wind_wave_significant_height: 0.000000
20:11:58 INFO opendrift.models.basemodel.environment:248: surface_downward_x_stress: 0.000000
20:11:58 INFO opendrift.models.basemodel.environment:248: surface_downward_y_stress: 0.000000
20:11:58 INFO opendrift.models.basemodel.environment:248: turbulent_kinetic_energy: 0.000000
20:11:58 INFO opendrift.models.basemodel.environment:248: turbulent_generic_length_scale: 0.000000
20:11:58 INFO opendrift.models.basemodel.environment:248: ocean_mixed_layer_thickness: 50.000000
20:11:59 INFO opendrift.models.basemodel:935: Using existing reader for land_binary_mask
20:11:59 INFO opendrift.models.basemodel:948: Moving 20 out of 900 points from land to water
20:11:59 WARNING opendrift.models.basemodel:729: Seafloor check not being run because environment is missing. This will happen the first time the function is run but if it happens subsequently there is probably a problem.
20:11:59 INFO opendrift.models.basemodel:2035: 2018-01-01 00:00:00 - step 1 of 48 - 900 active elements (0 deactivated)
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20:12:06 INFO opendrift.models.basemodel:2035: 2018-01-01 10:00:00 - step 11 of 48 - 897 active elements (3 deactivated)
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The custom landmask from shapefile, which is used for the simulation, is also shown in the map instead of the default GSHHG
o.plot()
o.animation()
/opt/conda/envs/opendrift/lib/python3.11/site-packages/cartopy/mpl/geoaxes.py:1692: UserWarning: No data for colormapping provided via 'c'. Parameters 'cmap' will be ignored
result = super().scatter(*args, **kwargs)
20:12:39 INFO opendrift.models.basemodel:4613: Saving animation to /root/project/docs/source/gallery/animations/example_shape_landmask_0.gif...
20:13:01 INFO opendrift.models.basemodel:3037: Time to make animation: 0:00:23.062924
Total running time of the script: (1 minutes 9.614 seconds)